About me
💡 Industrial engineer with a
passion for technology, programming, continuous self-learning, e-mobility, rockets and basketball.
Since I started to learn about AI and deep learning, it became my true passion.
💻 I am currently working as a data scientist at GFT, where
I am developing computer vision solutions for industrial applications. If you want to know more about my
professional profile, you can check my Linkedin
or Github
✈ Several international experiences: In 2016 I spent my summer working at CERN, which is the largest particle
accelerator in the world, in Geneve(Switzerland). In 2016 I moved one year to study at KU Leuven(Belgium) and in 2017
I took part in Hyperloop SpaceX competition celebrated in Los Angeles (USA) as Technical Director.
🥇 In March 2021, I won the computer vision challenge of a national hackathon organized in Spain, which was a
reward for all the hard work I put for developing myself in the fields of Artificial Intelligence and Computer Vision.
Besides, in June 2014, I was awarded for my bachelor's thesis as "Best national project in control systems" by the
Spanish Automation Committee (CEA)
🎓 I enjoy sharing my knowledge to others and I am aware of the positive impact that our work can have on society.
In September 2021, I was selected as one of the lecturers of the ‘CERN Alumni Second Collisions: Research Matters’ event
to share my experience with CERN Alumni network, formed by 7000 people located in over 100 countries.
Projects
Development of an image search engine for navigating into 15k running race gallery hosted in Flickr
Implementation of ConvNext image classifier model using Hugging Face framework
Implementation an automatic malaria classification system in FastAI framework
Streamlit app and google colab notebook have been developed for coloring black and white images by means of the use of DeOldify's trained networks.
Notebook for training a YoloV4 custom object detector based on darknet framework
OpenCV object detection in HSV color space.